GENERAL CHARACTERISTICS OF THE POST-SOVIET SPACE POLITICAL REGIMES AND FEATURES OF THEIR FORMATION by Vladyslav Koshelnyk

“…Certain remnants of Sovietism and bureaucratic elements that inhibit the process of transformation and democratization are analyzed, which allows them to be labeled as neo-patrimonial: centralization of power, dominance of one party in the management of the state or a narrow group of persons, which negatively affects the formation and development of civil society and, in general, the process democratization.  …”
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Segmentation of the Sensor Data Stream in Pervasive Smart Environments by Vahid Ghasemi, Mohammad Javadian, Sajad Hayati

“…In such environments, user-object interactions along time are recorded via several sensors, and sensor events are processed as a stream of data. In this process, user’s activities are recognized, and accordingly, essential services are provided. …”
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The Spacecraft Parabolic Antenna Payload Orientation Estimation Method Based on the Step Effect of Measured Radar Cross Section Sequences by Junzhi Li, Xin Ning

“…The analysis and processing of active radar image information is an important method for determining the payload orientation of non-cooperative targets. …”
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TWO-POINT BOUNDARY PROBLEM SOLUTION BY NON-GRADIENT RANDOM SEARCH METHOD by V. A. Malkin

“…When solving the task of optimal control estimation of dynamical system by means of Pontryagin’s maximum principle the initial conditions of conjugate set of equations must be determined, provided that dynamical system’s variables values meet the known terminal conditions Y(tk).The problem’s solution lie in random selection of vector of initial conditions in some actual range, numerical integration of basic and conjugate systems and subsequent processing of findings. …”
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AUTOMATIC SEGMENTATION OF TREE CROWNS IN PINE FORESTS USING MASK R-CNN ON RGB IMAGERY FROM UAVS by А. D. Nikitina

“…Preparation and post-processing blocks for raster and vector files were developed for geospatial data processing. …”
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Revisiting Volterra defects: geometrical relation between edge dislocations and wedge disclinations by Shunsuke Kobayashi, Katsumi Takemasa, Ryuichi Tarumi

“…Following the standard Volterra process, we derived the Cartan moving frame, a geometric representation of plastic fields, and the associated Riemannian metric using exterior algebra. …”
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Accounting Management and Optimizing Production Based on Distributed Semantic Recognition by Ruina Guo, Shu Wang, Guangsen Wei

“…The proposed algorithm encompasses multiple modules, including a front-end feature extraction module, a channel transmission module, and a voice quality vector quantization module. Additionally, a semantic recognition module is introduced to process the voice signals and generate prediction results. …”
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Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures by Mohammed Maree, Wala’a Shehada

“…Conversely, LLMs such as GPT-4, GPT-3, and LLAMA adeptly process unstructured textual content, capturing nuanced language and context with greater precision. …”
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Digital-analog hybrid matrix multiplication processor for optical neural networks by Xiansong Meng, Deming Kong, Kwangwoong Kim, Qiuchi Li, Po Dong, Ingemar J. Cox, Christina Lioma, Hao Hu

“…Current ONNs using analog matrix-vector multiplication (MVM) implementations are fundamentally limited in numerical precision due to accumulated noise in electro-optical processing. …”
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TECTONOPHYSICAL INTERPRETATION OF EARTHQUAKE FOCAL MECHANISMS OF THE ZAGROS SYSTEM by O. B. Gintov, E. Ya. Kolesnikova, A. V. Murovskaya, Y. M. Volfman

“…The second method is applied to construct stereograms of the main axes P, T and N, to construct and interpret stereograms of vectors of seismogenic shifts (Figure 3), and to more clearly define coordinates of principal axes σ1, σ3 и σ2. …”
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CR-ATTACKER: Exploiting Crash-Reporting Systems Using Timing Gap and Unrestricted File-Based Workflow by Seong-Joong Kim, Myoungsung You, Seungwon Shin

“…By leveraging these attack vectors, we demonstrate that unprivileged attackers can extract arbitrary memory contents from other processes or manipulate the behavior of crash-reporting systems, leading to information leakage and system compromise. …”
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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

“…This study presents a detailed analysis of various machine learning models for predicting the interfacial bond strength of fiber-reinforced polymer (FRP) concrete, including multiple linear regression, Multigene Genetic Programming (MGGP), an ensemble of regression trees, Gaussian Process Regression (GPR), Support Vector Regression (SVR), and neural networks. …”
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Degradation of Organophosphorus Pesticides in Water during UV/H2O2 Treatment: Role of Sulphate and Bicarbonate Ions by Am Fadaei, Mh Dehghani, Ah Mahvi, S. Nasseri, N. Rastkari, M. Shayeghi

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Few-shot Named Entity Ｒecognition for Medical Text by QIN Jian, HOU Jian-xin, XIE Yi-ning, HE Yong-jun

“…First of all，the Bert word vector is extended with pinyin and strokes of Chinese characters to make it contain more useful information. …”
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Finding Possible Precursors for the 2015 Cotopaxi Volcano Eruption Using Unsupervised Machine Learning Techniques by Juan C. Anzieta, Hugo D. Ortiz, Gabriela L. Arias, Mario C. Ruiz

“…To find these families we applied a two-stage process in which the events were first separated by their frequency content by applying the k-means algorithm to the spectral density vector of the signals and then were further separated by their waveform by applying Correntropy and Dynamic Time Warping. …”
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Evaluation of Ground Displacements Caused by Installing Jet Grouted Columns Using Machine Learning Methods by Zhi-Feng Wang, Xing-Bin Peng, Yong Liu, Wen-Chieh Cheng, Ya-Qiong Wang, Chao-Jun Wu

“…Based on multiple nonlinear regression (MNLR) and support vector regression (SVR), the prediction approaches are established, respectively. …”
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Classification of Leguminous Wood Species Based on Small Sample Hyperspectral Images by Hang Su, Shuo Xu, Zhongjian Wang, Wenxin Zhao, Yanan Wen, Lei Zhao

“…This paper uses hyperspectral image data and combines models such as support vector machine (SVM), random forest (RF), logistic regression (LR), and one-dimensional convolutional neural network (1-CNN). …”
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Analytical computation for segmentation and classification of lumbar vertebral fractures by Roseline Nyange, Hemachandran Kannan, Channabasava Chola, Saurabh Singh, Jaejeung Kim, Anil Audumbar Pise

“…This paper proposes automated method for segmentation of lumbar vertebral body (VB) using image processing techniques such as shape features and morphological operations. …”
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Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method by İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu

“…This study aims to determine gender from hand-wrist radiographs using different deep-learning methods.Methods: The left hand-wrist radiographs of 1044 individuals (534 males and 510 females) were pre-processed to clarify the image and adjust the contrast. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…Including NMR T2 data as an input feature enhanced the model's ability to capture multimodal peaks in unconventional rocks, making the prediction problem overdetermined. By predicting vector functions from vector input features, we effectively reduced prediction errors. …”
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